LogosLink User's Manual · LogosLink version 2.0.2

C3 Analytics (Argumentation Model)

C3 analytics shows the correlations between centrality, cogency and contentiousness for propositions in the argumentation model.

This is useful to determine whether any two of these three variables are correlated in some way.

Parameters

  • Speaker. If you select a speaker, only the propositions of this speaker will be taken into account.
  • Agent. If the argumentation model has an embedded context and you select an agent, only the propositions of speakers linked to this agent will be taken into account.
  • Contentiousness exponent. This indicates the weight of attacks and supports on a proposition when calculating its contentiousness. Typical values are between 2 and 5.

Results

Results are given separately for propositions and linked themes and positions.

Propositions

Results are shown as some overall data and three scatterplot charts.

Overall data
  • Centrality/Cogency ρ. This is the correlation coefficient for centrality and cogency.
  • Centrality/Contentiousness ρ. This is the correlation coefficient for centrality and contentiousness.
  • Cogency/Contentiousness ρ. This is the correlation coefficient for cogency and contentiousness.

Correlation coefficients indicate how strongly values for the two variables are related. Please see the Details section below for more information about correlation coefficients.

Charts

A scatterplot chart is shown for each pair of variables. Each point in the chart represents a proposition. Propositions are shown in a different colour for each speaker.

Linked Themes

Results are shown as some overall data and three scatterplot charts.

Overall data
  • Centrality/Cogency ρ. This is the correlation coefficient for centrality and cogency.
  • Centrality/Contentiousness ρ. This is the correlation coefficient for centrality and contentiousness.
  • Cogency/Contentiousness ρ. This is the correlation coefficient for cogency and contentiousness.

Correlation coefficients indicate how strongly values for the two variables in propositions linked to each theme are related. Please see the Details section below for more information about correlation coefficients.

Charts

A scatterplot chart is shown for each pair of variables. Each point in the chart represents a theme. The theme's value for each variable is calculated as the average of the values of the propositions linked to it.

Linked Positions

Results are shown as some overall data and three scatterplot charts.

Overall data
  • Centrality/Cogency ρ. This is the correlation coefficient for centrality and cogency.
  • Centrality/Contentiousness ρ. This is the correlation coefficient for centrality and contentiousness.
  • Cogency/Contentiousness ρ. This is the correlation coefficient for cogency and contentiousness.

Correlation coefficients indicate how strongly values for the two variables in propositions linked to each position are related. Please see the Details section below for more information about correlation coefficients.

Charts

A scatterplot chart is shown for each pair of variables. Each point in the chart represents a position. The position's value for each variable is calculated as the average of the values of the propositions linked to it.

Details

Correlation coefficients are calculated as population Pearson correlation coefficients . Their values are between -1 and 1. A coefficient close to 0 indicates no correlation exists between the variables. A coefficient close to 1 indicates perfect positive correlation, meaning that as one variable increases, the other variable also increases. A coefficient close to -1 indicates perfect negative correlation, meaning that as one variable increases, the other variable decreases.

See Also

  • n/a

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